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10.1093/bioinformatics/btw103

http://scihub22266oqcxt.onion/10.1093/bioinformatics/btw103
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C4920116!4920116!27153724
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suck abstract from ncbi


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pmid27153724      Bioinformatics 2016 ; 32 (13): 2017-23
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  • Cas-Database: web-based genome-wide guide RNA library design for gene knockout screens using CRISPR-Cas9 #MMPMID27153724
  • Park J; Kim JS; Bae S
  • Bioinformatics 2016[Jul]; 32 (13): 2017-23 PMID27153724show ga
  • Motivation: CRISPR-derived RNA guided endonucleases (RGENs) have been widely used for both gene knockout and knock-in at the level of single or multiple genes. RGENs are now available for forward genetic screens at genome scale, but single guide RNA (sgRNA) selection at this scale is difficult.Results: We develop an online tool, Cas-Database, a genome-wide gRNA library design tool for Cas9 nucleases from Streptococcus pyogenes (SpCas9). With an easy-to-use web interface, Cas-Database allows users to select optimal target sequences simply by changing the filtering conditions. Furthermore, it provides a powerful way to select multiple optimal target sequences from thousands of genes at once for the creation of a genome-wide library. Cas-Database also provides a web application programming interface (web API) for advanced bioinformatics users.Availability and implementation: Free access at http://www.rgenome.net/cas-database/.Contact:sangsubae@hanyang.ac.kr or jskim01@snu.ac.krSupplementary information:Supplementary data are available at Bioinformatics online.
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